Titlebook: Recent Trends and Future Technology in Applied Intelligence; 31st International C Malek Mouhoub,Samira Sadaoui,Moonis Ali Conference procee

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Brian J. Ross-enabled research directions and emphasise the position of research-based praxis in both schools and in institutions entrusted with teacher education. Importantly, the monograph demonstrates the two-way communi978-94-6209-257-0

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Humphrey Mensah,Sucheta Soundarajan-enabled research directions and emphasise the position of research-based praxis in both schools and in institutions entrusted with teacher education. Importantly, the monograph demonstrates the two-way communi978-94-6209-257-0

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A Method for the Online Construction of the Set of States of a Markov Decision Process Using Answer ems. This paper presents a combination of Markov Decision Processes (MDP) with Answer Set Programming (ASP), named . (oASP(MDP)), which is a method capable of constructing the set of domain states while the agent interacts with a changing environment. oASP(MDP) updates previously obtained policies,

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Hardware/Software Co-design for Template Matching Using Cuckoo Search Optimizationficient is applied to each image pixel to quantify the degree of similarity between two images. To reduce the processing time, a dedicated co-processor, responsible of performing the correlation computation, is used. Cuckoo Search is applied to improve the search for the maximum correlation point be

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On Using “Stochastic Learning on the Line” to Design Novel Distance Estimation Methodsaim of the problem is to yield an accurate value for the real (road) distance between the points specified by the latter coordinates. This problem has, typically, been tackled by utilizing parametric functions called Distance Estimation Functions (DEFs). The parameters are learned from the training

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Knowledge Discovery Process for Detection of Spatial Outliers spatial neighborhood. Some considerations that depend on the problem domain and data characteristics have to be taken into account for the selection of the data mining algorithms to be used in each data mining project. This massive amount of possible algorithm combinations makes it necessary to des

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Text Modeling Using Multinomial Scaled Dirichlet Distributionsts that takes into account burstiness. However, recent research showed that the Dirichlet is not the best to be chosen as a prior to multinomial. In this paper, we propose a novel model called the Multinomial Scaled Dirichlet (MSD) distribution that is the composition of the scaled Dirichlet distrib

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A Comparison of Knee Strategies for Hierarchical Spatial Clusterings usually performed on the dendogram generated during cluster generation. For many problems, the knee is a natural indication of the ideal or optimal number of clusters for the given problem. This research compares the performance of various knee strategies on different spatial datasets. Two hierarc